2020 4th International Conference on Artificial Intelligence and Virtual Reality最新文献

Design and Realization of Multiple_Platform Digital Museum Interaction System Based on VR&AR 基于VR&AR的多平台数字博物馆交互系统的设计与实现

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439136

Xinzhe Zhang, Huaqun Liu, Shijie Wang

{"title":"Design and Realization of Multiple_Platform Digital Museum Interaction System Based on VR&AR","authors":"Xinzhe Zhang, Huaqun Liu, Shijie Wang","doi":"10.1145/3439133.3439136","DOIUrl":"https://doi.org/10.1145/3439133.3439136","url":null,"abstract":"The museum is a place for collecting, storing, displaying and researching physical objects representing natural and human cultural heritage, and rationally classifying them, providing visitors with learning, education, and entertainment services. Providing high-quality information services is the core value of the museum. The museum invisibly reflects the historical background of the cultural relics displayed and the cultural connotation of the displayed area. It cannot be classified, arranged, and juxtaposed in a single manner, but should be the expression of internal cultural spirit. Create a vivid, contextual, and convenient online digital museum content ecology and information service framework through the combination of museums and VR technology. With the help of realistic content scenes and excellent modeling tools and ecosystems, it provides distinctions for museum users Offline, with a richer content ecosystem and a more convenient content ecosystem, will greatly enhance the competitiveness of digital museums and increase the number of museum users. This article takes \"Hunan Changsha Museum\" as the research object, researches education for ordinary people, focuses on getting cultural relics out of the museum, and comprehensively utilizes cultural relics resources. Let the cultural heritage be deeply rooted in the hearts of the people through a variety of expressions, use Internet technology, big data processing, cloud data integration, high-fidelity modeling technology, and use cultural relics and the history behind them as content to build PC terminals, mobile terminals, and integrated display machines, A cross-platform and multi-dimensional intelligent interaction platform for paper books. Let the collection of cultural relics go out of the exhibition hall and into the lives of the people.","PeriodicalId":291985,"journal":{"name":"2020 4th International Conference on Artificial Intelligence and Virtual Reality","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121177220","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Implementation of Realistic Rendering and Immersive Experience System Based on Unreal Engine4 基于虚幻引擎的逼真渲染与沉浸式体验系统的设计与实现

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439138

Shijie Wang, Huaqun Liu, Xinzhe Zhang

引用次数: 1

Genesis Net: Fine Tuned Dense Net Configuration using Reinforcement Learning 创世纪网:使用强化学习的微调密集网络配置

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439139

Praveen Thachappully Adithya, R. Muthalagu, Sapna Sadhwani

引用次数: 0

The Enlightenment of "AR / VR" Technical University Course Education in Taiwan, China 台湾“AR / VR”技术大学课程教育的启示

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439146

Xiaoyu Guo, Xingnan Chen, Xiaoqi Feng, Shijue Zheng

引用次数: 2

User Experience Research of Queuing System based in Chinese Smart Bank Branches 基于中国智能银行网点排队系统的用户体验研究

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439143

Yongkang Xing, X. Cai, Kun Li, Qiaoqian Lu, Xiaoyan Wang, Jian Ruan

{"title":"User Experience Research of Queuing System based in Chinese Smart Bank Branches","authors":"Yongkang Xing, X. Cai, Kun Li, Qiaoqian Lu, Xiaoyan Wang, Jian Ruan","doi":"10.1145/3439133.3439143","DOIUrl":"https://doi.org/10.1145/3439133.3439143","url":null,"abstract":"With the development of Internet finance, customer behavior and consumption habits have transformed and brought new challenges to commercial banks' traditional branches in China. Bank branches face the pressure of rising operating costs, declining profits, and being gradually replaced by online services. Under the smart economic trend, bank branches are facing significant transforming and upgrading. Branches will gradually transform their roles from traditional business transaction centers to product marketing and customer experience centers. The intelligent upgrading and transformation of branches play an essential role in accelerating the process. In this paper, our research focuses on user experience in the smart branch and adjust with the smart society development trend. We study smart diversions' pre-processing at smart branches, establish smart queuing models, and mobile appointment systems to control the queue. We compare the smart model with the traditional under the bank's virtual simulation system. Use customer waiting time for service and employee work intensity as essential indicators of the queuing model. The simulation results show that the branch uses intelligent distribution is much more efficient than the traditional one. Customer experience and service efficiency are greatly improved.","PeriodicalId":291985,"journal":{"name":"2020 4th International Conference on Artificial Intelligence and Virtual Reality","volume":"19 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123211995","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning Application in Alzheimer Disease Diagnoses and Prediction 深度学习在阿尔茨海默病诊断与预测中的应用

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439144

Tao Jiang

引用次数: 2

Modular AR Framework for Vision-Language Tasks 面向视觉语言任务的模块化AR框架

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439142

Robin Fischer, Tzu-Hsuan Weng, L. Fu

{"title":"Modular AR Framework for Vision-Language Tasks","authors":"Robin Fischer, Tzu-Hsuan Weng, L. Fu","doi":"10.1145/3439133.3439142","DOIUrl":"https://doi.org/10.1145/3439133.3439142","url":null,"abstract":"Mixed / augmented reality systems have become more and more sophisticated in recent years. However, they still lack any ability to reason about the surrounding world. On the other hand, computer vision research has made many advancements towards a more human-like reasoning process. This paper aims to bridge these 2 research areas by implementing a modular framework which interconnects an AR application with a deep learning based vision model. Finally, a few potential use cases of the proposed system are showcased. The developed framework allows the application to utilize a variety of Vision-Language (V+L) models, to gain additional understanding about the surrounding environment. The system is designed to be modular and expandable. It is able to connect any number of Python processes of the V+L models to Unity apps using AR technology. The system was evaluated in our university's smart home lab based on daily life use cases. With a further extension of the framework by additional downstream tasks provided by V+L models and other computer vision systems, this framework should find wider adoption in AR applications. The increasing ability of applications to comprehend visual common sense and natural conversations would enable more intuitive interactions with the user, who could perceive his device more as a virtual assistant and companion.","PeriodicalId":291985,"journal":{"name":"2020 4th International Conference on Artificial Intelligence and Virtual Reality","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122930898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Discussion on Practical Teaching Mode from the Perspective of Virtual Reality 虚拟现实视角下的实践教学模式探讨

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439137

Jie Liang

{"title":"Discussion on Practical Teaching Mode from the Perspective of Virtual Reality","authors":"Jie Liang","doi":"10.1145/3439133.3439137","DOIUrl":"https://doi.org/10.1145/3439133.3439137","url":null,"abstract":"With the maturity of hardware and software of virtual reality and the decline in equipment costs, the wide application of virtual reality technology has become possible, and it has become the focus of discussion in education and teaching field. Simultaneously, it also brings new opportunities and challenges to current practical teaching in higher education. For universities, it is important and challenging to not only provide students with an imaginative, exploring and authentic practice environment, but also build positive, open and free space-time space for students, which is difficult to achieve in traditional practice teaching. This is an exploratory study on how to effectively make full use of the teaching advantages of virtual reality technology in practical teaching, in order to break through the limitation of current practical teaching. The researcher gives a general overview of virtual reality, discusses the feasibility of integrating virtual reality into practical teaching from the perspective of intentions and methods, puts forward the practical teaching mode of “virtual reality integration”, and discusses several possible problems and effective countermeasures to optimize and promote the application of the practical teaching mode.","PeriodicalId":291985,"journal":{"name":"2020 4th International Conference on Artificial Intelligence and Virtual Reality","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131134719","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robot Path Planning Algorithm Based on Particle Swarm Optimization and Feedforward Neural Network in Network Environment 网络环境下基于粒子群优化和前馈神经网络的机器人路径规划算法

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439145

Shiwei Li

{"title":"Robot Path Planning Algorithm Based on Particle Swarm Optimization and Feedforward Neural Network in Network Environment","authors":"Shiwei Li","doi":"10.1145/3439133.3439145","DOIUrl":"https://doi.org/10.1145/3439133.3439145","url":null,"abstract":"The main task of mobile robot path planning is: according to the environment model, the mobile robot is based on one or some optimization criteria: such as the minimum work cost, the shortest walking route, the shortest walking time, etc., to find a path in the motion space that does not occur with obstacles. Under the premise of collision, the collision-free path from the starting coordinate point to the target coordinate point allows the robot to reach the destination safely. At present, the path planning methods of mobile robots can be roughly divided into three categories according to their working methods. The first is path planning based on environmental models. It can handle path planning under the condition of fully known obstacle positions and shapes. In the environment, the path planning method based on the environment model will not be applicable. Specific methods such as A * [1], topological graph method [2], etc .; second is local path planning method based on sensor information, typical methods are: artificial potential field method [3], fuzzy logic method [4], etc .; third Behavior-based path planning method [5], which decomposes the navigation problem into independent modules such as collision avoidance and target guidance [6]. Practice shows that it is an effective method to apply neural network to automatic generation of robot trajectory and path planning of mobile robot.","PeriodicalId":291985,"journal":{"name":"2020 4th International Conference on Artificial Intelligence and Virtual Reality","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117071709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Workload Estimation for Software House 软件公司的自动工作量估计

2020 4th International Conference on Artificial Intelligence and Virtual Reality Pub Date : 2020-10-23 DOI: 10.1145/3439133.3439135

Orawat Yodnual, Wanus Srimaharaj, R. Chaisricharoen, Kanchit Pamanee

引用次数: 1